# JEddy92/TimeSeries\_Seq2Seq

<https://repo.masters-masters.com/en/repos/JEddy92/TimeSeries_Seq2Seq>

[Home](https://repo.masters-masters.com/en) › [JEddy92](https://repo.masters-masters.com/en/owners/JEddy92) › [TimeSeries\_Seq2Seq](https://repo.masters-masters.com/en/repos/JEddy92/TimeSeries_Seq2Seq)

JEddy92/TimeSeries\_Seq2Seq has 611 stars on GitHub. Its RepoMasters card: Alpha tier. This repo aims to be a useful collection of notebooks/code for…

| Field | Value |
| --- | --- |
| Owner | [JEddy92](https://repo.masters-masters.com/en/owners/JEddy92) |
| Stars | 611 |
| Forks | 232 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [JEddy92/TimeSeries\_Seq2Seq](https://github.com/JEddy92/TimeSeries_Seq2Seq) |

## Repository

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.